Overview

Dataset statistics

Number of variables20
Number of observations70000
Missing cells0
Missing cells (%)0.0%
Duplicate rows1398
Duplicate rows (%)2.0%
Total size in memory10.7 MiB
Average record size in memory160.0 B

Variable types

NUM20

Reproduction

Analysis started2020-08-25 01:38:17.443293
Analysis finished2020-08-25 01:39:27.300941
Duration1 minute and 9.86 seconds
Versionpandas-profiling v2.8.0
Command linepandas_profiling --config_file config.yaml [YOUR_FILE.csv]
Download configurationconfig.yaml

Warnings

Dataset has 1398 (2.0%) duplicate rows Duplicates
591 is highly skewed (γ1 = 28.44550103) Skewed
599 has 31607 (45.2%) zeros Zeros
591 has 69830 (99.8%) zeros Zeros
210 has 22639 (32.3%) zeros Zeros
638 has 65104 (93.0%) zeros Zeros
175 has 66061 (94.4%) zeros Zeros
214 has 22448 (32.1%) zeros Zeros
430 has 36995 (52.8%) zeros Zeros
260 has 54597 (78.0%) zeros Zeros
594 has 62034 (88.6%) zeros Zeros
205 has 53342 (76.2%) zeros Zeros
577 has 24674 (35.2%) zeros Zeros
245 has 39277 (56.1%) zeros Zeros
236 has 27521 (39.3%) zeros Zeros
219 has 56890 (81.3%) zeros Zeros
771 has 69664 (99.5%) zeros Zeros
156 has 35301 (50.4%) zeros Zeros
517 has 36536 (52.2%) zeros Zeros
68 has 69242 (98.9%) zeros Zeros
580 has 44651 (63.8%) zeros Zeros
target has 6903 (9.9%) zeros Zeros

Variables

599
Real number (ℝ≥0)

ZEROS

Distinct count256
Unique (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean101.23087142857143
Minimum0
Maximum255
Zeros31607
Zeros (%)45.2%
Memory size547.0 KiB
2020-08-25T01:39:27.537983image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median32
Q3247
95-th percentile254
Maximum255
Range255
Interquartile range (IQR)247

Descriptive statistics

Standard deviation111.2685883
Coefficient of variation (CV)1.099156678
Kurtosis-1.667597933
Mean101.2308714
Median Absolute Deviation (MAD)32
Skewness0.3926868541
Sum7086161
Variance12380.69875
2020-08-25T01:39:27.642279image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
03160745.2%
 
253798711.4%
 
25434404.9%
 
25233474.8%
 
25514362.1%
 
2515370.8%
 
1283110.4%
 
2502560.4%
 
1912040.3%
 
2471960.3%
 
2451850.3%
 
2321780.3%
 
2431680.2%
 
2361660.2%
 
2491660.2%
 
2341580.2%
 
111570.2%
 
571560.2%
 
2441540.2%
 
41530.2%
 
71500.2%
 
851480.2%
 
2481480.2%
 
641460.2%
 
2181450.2%
 
Other values (231)1830126.1%
 
ValueCountFrequency (%) 
03160745.2%
 
1620.1%
 
21060.2%
 
31270.2%
 
41530.2%
 
51420.2%
 
61270.2%
 
71500.2%
 
81340.2%
 
91280.2%
 
ValueCountFrequency (%) 
25514362.1%
 
25434404.9%
 
253798711.4%
 
25233474.8%
 
2515370.8%
 
2502560.4%
 
2491660.2%
 
2481480.2%
 
2471960.3%
 
2461360.2%
 

591
Real number (ℝ≥0)

SKEWED
ZEROS

Distinct count110
Unique (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.28075714285714287
Minimum0
Maximum255
Zeros69830
Zeros (%)99.8%
Memory size547.0 KiB
2020-08-25T01:39:27.752396image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum255
Range255
Interquartile range (IQR)0

Descriptive statistics

Standard deviation6.931908963
Coefficient of variation (CV)24.6900538
Kurtosis867.8561069
Mean0.2807571429
Median Absolute Deviation (MAD)0
Skewness28.44550103
Sum19653
Variance48.05136187
2020-08-25T01:39:27.855546image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
06983099.8%
 
2545< 0.1%
 
2535< 0.1%
 
614< 0.1%
 
134< 0.1%
 
2313< 0.1%
 
13< 0.1%
 
763< 0.1%
 
223< 0.1%
 
253< 0.1%
 
1913< 0.1%
 
283< 0.1%
 
313< 0.1%
 
383< 0.1%
 
2553< 0.1%
 
1213< 0.1%
 
822< 0.1%
 
42< 0.1%
 
92< 0.1%
 
1172< 0.1%
 
712< 0.1%
 
1612< 0.1%
 
2182< 0.1%
 
1342< 0.1%
 
902< 0.1%
 
Other values (85)1010.1%
 
ValueCountFrequency (%) 
06983099.8%
 
13< 0.1%
 
21< 0.1%
 
31< 0.1%
 
42< 0.1%
 
51< 0.1%
 
61< 0.1%
 
71< 0.1%
 
92< 0.1%
 
101< 0.1%
 
ValueCountFrequency (%) 
2553< 0.1%
 
2545< 0.1%
 
2535< 0.1%
 
2431< 0.1%
 
2402< 0.1%
 
2371< 0.1%
 
2331< 0.1%
 
2313< 0.1%
 
2301< 0.1%
 
2241< 0.1%
 

210
Real number (ℝ≥0)

ZEROS

Distinct count256
Unique (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean125.42585714285714
Minimum0
Maximum255
Zeros22639
Zeros (%)32.3%
Memory size547.0 KiB
2020-08-25T01:39:27.968511image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median128
Q3252
95-th percentile254
Maximum255
Range255
Interquartile range (IQR)252

Descriptive statistics

Standard deviation110.4870171
Coefficient of variation (CV)0.8808950533
Kurtosis-1.781689072
Mean125.4258571
Median Absolute Deviation (MAD)125
Skewness0.002151944242
Sum8779810
Variance12207.38095
2020-08-25T01:39:28.067243image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
02263932.3%
 
253868412.4%
 
25445866.6%
 
25242946.1%
 
25517972.6%
 
2517521.1%
 
1283510.5%
 
2503320.5%
 
1912860.4%
 
2482750.4%
 
2492400.3%
 
2432260.3%
 
292230.3%
 
2332190.3%
 
2402110.3%
 
2472110.3%
 
2442070.3%
 
2412030.3%
 
642020.3%
 
1411990.3%
 
2341980.3%
 
2371950.3%
 
2261880.3%
 
2351870.3%
 
2141850.3%
 
Other values (231)2291032.7%
 
ValueCountFrequency (%) 
02263932.3%
 
1760.1%
 
21470.2%
 
31080.2%
 
41520.2%
 
51270.2%
 
61390.2%
 
71500.2%
 
8950.1%
 
91580.2%
 
ValueCountFrequency (%) 
25517972.6%
 
25445866.6%
 
253868412.4%
 
25242946.1%
 
2517521.1%
 
2503320.5%
 
2492400.3%
 
2482750.4%
 
2472110.3%
 
2461650.2%
 

638
Real number (ℝ≥0)

ZEROS

Distinct count256
Unique (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8.942971428571429
Minimum0
Maximum255
Zeros65104
Zeros (%)93.0%
Memory size547.0 KiB
2020-08-25T01:39:28.179845image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile45
Maximum255
Range255
Interquartile range (IQR)0

Descriptive statistics

Standard deviation40.81242038
Coefficient of variation (CV)4.563630858
Kurtosis24.33719951
Mean8.942971429
Median Absolute Deviation (MAD)0
Skewness4.978898382
Sum626008
Variance1665.653657
2020-08-25T01:39:28.281176image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
06510493.0%
 
2534210.6%
 
2522210.3%
 
2541280.2%
 
255990.1%
 
5740.1%
 
21620.1%
 
251610.1%
 
2590.1%
 
7570.1%
 
1510.1%
 
128500.1%
 
12490.1%
 
10480.1%
 
19440.1%
 
17430.1%
 
3420.1%
 
15400.1%
 
13400.1%
 
4390.1%
 
6370.1%
 
9370.1%
 
64370.1%
 
8370.1%
 
28370.1%
 
Other values (231)30834.4%
 
ValueCountFrequency (%) 
06510493.0%
 
1510.1%
 
2590.1%
 
3420.1%
 
4390.1%
 
5740.1%
 
6370.1%
 
7570.1%
 
8370.1%
 
9370.1%
 
ValueCountFrequency (%) 
255990.1%
 
2541280.2%
 
2534210.6%
 
2522210.3%
 
251610.1%
 
25034< 0.1%
 
24915< 0.1%
 
24811< 0.1%
 
24720< 0.1%
 
24613< 0.1%
 

175
Real number (ℝ≥0)

ZEROS

Distinct count256
Unique (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.400014285714286
Minimum0
Maximum255
Zeros66061
Zeros (%)94.4%
Memory size547.0 KiB
2020-08-25T01:39:28.396744image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile15
Maximum255
Range255
Interquartile range (IQR)0

Descriptive statistics

Standard deviation37.28023835
Coefficient of variation (CV)5.037860322
Kurtosis30.32232417
Mean7.400014286
Median Absolute Deviation (MAD)0
Skewness5.519422184
Sum518001
Variance1389.816172
2020-08-25T01:39:28.499977image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
06606194.4%
 
2533340.5%
 
2521870.3%
 
2541380.2%
 
255770.1%
 
13550.1%
 
4490.1%
 
128450.1%
 
19420.1%
 
251400.1%
 
7390.1%
 
64370.1%
 
29370.1%
 
8360.1%
 
1360.1%
 
5350.1%
 
57350.1%
 
1134< 0.1%
 
4731< 0.1%
 
8531< 0.1%
 
19130< 0.1%
 
8230< 0.1%
 
5528< 0.1%
 
328< 0.1%
 
2228< 0.1%
 
Other values (231)24773.5%
 
ValueCountFrequency (%) 
06606194.4%
 
1360.1%
 
224< 0.1%
 
328< 0.1%
 
4490.1%
 
5350.1%
 
628< 0.1%
 
7390.1%
 
8360.1%
 
919< 0.1%
 
ValueCountFrequency (%) 
255770.1%
 
2541380.2%
 
2533340.5%
 
2521870.3%
 
251400.1%
 
25022< 0.1%
 
2499< 0.1%
 
24815< 0.1%
 
2478< 0.1%
 
24618< 0.1%
 

214
Real number (ℝ≥0)

ZEROS

Distinct count256
Unique (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean126.66421428571428
Minimum0
Maximum255
Zeros22448
Zeros (%)32.1%
Memory size547.0 KiB
2020-08-25T01:39:28.611783image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median132
Q3252
95-th percentile254
Maximum255
Range255
Interquartile range (IQR)252

Descriptive statistics

Standard deviation110.6841328
Coefficient of variation (CV)0.8738390191
Kurtosis-1.784376435
Mean126.6642143
Median Absolute Deviation (MAD)121
Skewness-0.01882936654
Sum8866495
Variance12250.97725
2020-08-25T01:39:28.712096image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
02244832.1%
 
253892912.8%
 
25245916.6%
 
25444876.4%
 
25517582.5%
 
2518141.2%
 
2503530.5%
 
1283510.5%
 
1912620.4%
 
2492350.3%
 
2452260.3%
 
2442190.3%
 
2472190.3%
 
2481980.3%
 
2461960.3%
 
2331930.3%
 
2431910.3%
 
2371840.3%
 
101830.3%
 
2261790.3%
 
2361790.3%
 
2341770.3%
 
841770.3%
 
2311760.3%
 
2031750.2%
 
Other values (231)2290032.7%
 
ValueCountFrequency (%) 
02244832.1%
 
11040.1%
 
21340.2%
 
31680.2%
 
41640.2%
 
51260.2%
 
61380.2%
 
71560.2%
 
81040.1%
 
91370.2%
 
ValueCountFrequency (%) 
25517582.5%
 
25444876.4%
 
253892912.8%
 
25245916.6%
 
2518141.2%
 
2503530.5%
 
2492350.3%
 
2481980.3%
 
2472190.3%
 
2461960.3%
 

430
Real number (ℝ≥0)

ZEROS

Distinct count256
Unique (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean85.66635714285714
Minimum0
Maximum255
Zeros36995
Zeros (%)52.8%
Memory size547.0 KiB
2020-08-25T01:39:28.821762image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q3218
95-th percentile254
Maximum255
Range255
Interquartile range (IQR)218

Descriptive statistics

Standard deviation108.1396271
Coefficient of variation (CV)1.262334839
Kurtosis-1.375777753
Mean85.66635714
Median Absolute Deviation (MAD)0
Skewness0.6673318686
Sum5996645
Variance11694.17896
2020-08-25T01:39:28.930322image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
03699552.8%
 
25360698.7%
 
25441896.0%
 
25220973.0%
 
25512971.9%
 
2513300.5%
 
1282170.3%
 
291710.2%
 
2501600.2%
 
641520.2%
 
1911500.2%
 
2341460.2%
 
2431440.2%
 
2491360.2%
 
2471340.2%
 
2441320.2%
 
111290.2%
 
101280.2%
 
71270.2%
 
2451260.2%
 
2261260.2%
 
51250.2%
 
2281230.2%
 
2331230.2%
 
91220.2%
 
Other values (231)1635223.4%
 
ValueCountFrequency (%) 
03699552.8%
 
1510.1%
 
2870.1%
 
3990.1%
 
41110.2%
 
51250.2%
 
6830.1%
 
71270.2%
 
8940.1%
 
91220.2%
 
ValueCountFrequency (%) 
25512971.9%
 
25441896.0%
 
25360698.7%
 
25220973.0%
 
2513300.5%
 
2501600.2%
 
2491360.2%
 
248970.1%
 
2471340.2%
 
2461030.1%
 

260
Real number (ℝ≥0)

ZEROS

Distinct count256
Unique (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean34.39194285714286
Minimum0
Maximum255
Zeros54597
Zeros (%)78.0%
Memory size547.0 KiB
2020-08-25T01:39:29.045821image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile252
Maximum255
Range255
Interquartile range (IQR)0

Descriptive statistics

Standard deviation77.84747495
Coefficient of variation (CV)2.263538157
Kurtosis2.766480954
Mean34.39194286
Median Absolute Deviation (MAD)0
Skewness2.100110949
Sum2407436
Variance6060.229356
2020-08-25T01:39:29.149692image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
05459778.0%
 
25320963.0%
 
25211171.6%
 
2548071.2%
 
2554030.6%
 
2512020.3%
 
1281640.2%
 
111270.2%
 
641160.2%
 
2501140.2%
 
131080.2%
 
61060.2%
 
191010.1%
 
21010.1%
 
7910.1%
 
9870.1%
 
191870.1%
 
3860.1%
 
1850.1%
 
4820.1%
 
37820.1%
 
21810.1%
 
41800.1%
 
25780.1%
 
10760.1%
 
Other values (231)892612.8%
 
ValueCountFrequency (%) 
05459778.0%
 
1850.1%
 
21010.1%
 
3860.1%
 
4820.1%
 
5700.1%
 
61060.2%
 
7910.1%
 
8760.1%
 
9870.1%
 
ValueCountFrequency (%) 
2554030.6%
 
2548071.2%
 
25320963.0%
 
25211171.6%
 
2512020.3%
 
2501140.2%
 
249590.1%
 
248400.1%
 
247630.1%
 
246450.1%
 

594
Real number (ℝ≥0)

ZEROS

Distinct count256
Unique (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean16.70575714285714
Minimum0
Maximum255
Zeros62034
Zeros (%)88.6%
Memory size547.0 KiB
2020-08-25T01:39:29.259123image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile184
Maximum255
Range255
Interquartile range (IQR)0

Descriptive statistics

Standard deviation56.0681486
Coefficient of variation (CV)3.356217148
Kurtosis10.64654531
Mean16.70575714
Median Absolute Deviation (MAD)0
Skewness3.454064269
Sum1169403
Variance3143.637287
2020-08-25T01:39:29.362098image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
06203488.6%
 
2538891.3%
 
2524570.7%
 
2543620.5%
 
2552560.4%
 
131000.1%
 
128890.1%
 
251810.1%
 
64780.1%
 
7750.1%
 
10600.1%
 
29590.1%
 
19580.1%
 
4570.1%
 
32560.1%
 
12520.1%
 
191520.1%
 
51510.1%
 
1500.1%
 
21490.1%
 
9490.1%
 
3490.1%
 
6480.1%
 
38480.1%
 
2480.1%
 
Other values (231)47936.8%
 
ValueCountFrequency (%) 
06203488.6%
 
1500.1%
 
2480.1%
 
3490.1%
 
4570.1%
 
5470.1%
 
6480.1%
 
7750.1%
 
8410.1%
 
9490.1%
 
ValueCountFrequency (%) 
2552560.4%
 
2543620.5%
 
2538891.3%
 
2524570.7%
 
251810.1%
 
25033< 0.1%
 
24928< 0.1%
 
24829< 0.1%
 
247360.1%
 
24624< 0.1%
 

205
Real number (ℝ≥0)

ZEROS

Distinct count256
Unique (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean36.46777142857143
Minimum0
Maximum255
Zeros53342
Zeros (%)76.2%
Memory size547.0 KiB
2020-08-25T01:39:29.478157image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile252
Maximum255
Range255
Interquartile range (IQR)0

Descriptive statistics

Standard deviation79.09292302
Coefficient of variation (CV)2.168844432
Kurtosis2.362925219
Mean36.46777143
Median Absolute Deviation (MAD)0
Skewness1.998369215
Sum2552744
Variance6255.690471
2020-08-25T01:39:29.577968image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
05334276.2%
 
25320602.9%
 
25210891.6%
 
2548821.3%
 
2554980.7%
 
2511920.3%
 
1281750.2%
 
641400.2%
 
71190.2%
 
131170.2%
 
11170.2%
 
21060.2%
 
1911050.1%
 
291020.1%
 
41010.1%
 
211000.1%
 
11990.1%
 
250950.1%
 
19940.1%
 
8930.1%
 
15930.1%
 
57920.1%
 
25890.1%
 
3880.1%
 
5850.1%
 
Other values (231)992714.2%
 
ValueCountFrequency (%) 
05334276.2%
 
11170.2%
 
21060.2%
 
3880.1%
 
41010.1%
 
5850.1%
 
6700.1%
 
71190.2%
 
8930.1%
 
9820.1%
 
ValueCountFrequency (%) 
2554980.7%
 
2548821.3%
 
25320602.9%
 
25210891.6%
 
2511920.3%
 
250950.1%
 
249750.1%
 
248470.1%
 
247420.1%
 
246590.1%
 

577
Real number (ℝ≥0)

ZEROS

Distinct count256
Unique (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean119.34411428571428
Minimum0
Maximum255
Zeros24674
Zeros (%)35.2%
Memory size547.0 KiB
2020-08-25T01:39:29.693536image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median108
Q3252
95-th percentile254
Maximum255
Range255
Interquartile range (IQR)252

Descriptive statistics

Standard deviation111.2923132
Coefficient of variation (CV)0.932532902
Kurtosis-1.789107071
Mean119.3441143
Median Absolute Deviation (MAD)108
Skewness0.09869098895
Sum8354088
Variance12385.97899
2020-08-25T01:39:29.791390image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
02467435.2%
 
253873612.5%
 
25445756.5%
 
25234284.9%
 
25518022.6%
 
2516671.0%
 
1283920.6%
 
2502980.4%
 
1912680.4%
 
2472470.4%
 
2492460.4%
 
2332230.3%
 
2262210.3%
 
2452040.3%
 
2431970.3%
 
2421950.3%
 
2411930.3%
 
51890.3%
 
2441870.3%
 
641870.3%
 
2461860.3%
 
41820.3%
 
2361720.2%
 
291690.2%
 
2481680.2%
 
Other values (231)2199431.4%
 
ValueCountFrequency (%) 
02467435.2%
 
1930.1%
 
21340.2%
 
31560.2%
 
41820.3%
 
51890.3%
 
61310.2%
 
71620.2%
 
81600.2%
 
91360.2%
 
ValueCountFrequency (%) 
25518022.6%
 
25445756.5%
 
253873612.5%
 
25234284.9%
 
2516671.0%
 
2502980.4%
 
2492460.4%
 
2481680.2%
 
2472470.4%
 
2461860.3%
 

245
Real number (ℝ≥0)

ZEROS

Distinct count256
Unique (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean76.99298571428571
Minimum0
Maximum255
Zeros39277
Zeros (%)56.1%
Memory size547.0 KiB
2020-08-25T01:39:29.904296image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q3188
95-th percentile253
Maximum255
Range255
Interquartile range (IQR)188

Descriptive statistics

Standard deviation104.444839
Coefficient of variation (CV)1.356550056
Kurtosis-1.108890547
Mean76.99298571
Median Absolute Deviation (MAD)0
Skewness0.8312512301
Sum5389509
Variance10908.7244
2020-08-25T01:39:30.011372image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
03927756.1%
 
25356598.1%
 
25423533.4%
 
25222583.2%
 
25510181.5%
 
2513720.5%
 
1282830.4%
 
1912010.3%
 
2501940.3%
 
641650.2%
 
2471420.2%
 
91400.2%
 
1701380.2%
 
101380.2%
 
211380.2%
 
2401370.2%
 
2441350.2%
 
2251340.2%
 
2491330.2%
 
2411330.2%
 
2431310.2%
 
141270.2%
 
2481260.2%
 
1681260.2%
 
2451230.2%
 
Other values (231)1621923.2%
 
ValueCountFrequency (%) 
03927756.1%
 
1730.1%
 
2760.1%
 
3860.1%
 
41100.2%
 
51120.2%
 
61000.1%
 
71060.2%
 
8880.1%
 
91400.2%
 
ValueCountFrequency (%) 
25510181.5%
 
25423533.4%
 
25356598.1%
 
25222583.2%
 
2513720.5%
 
2501940.3%
 
2491330.2%
 
2481260.2%
 
2471420.2%
 
246960.1%
 

236
Real number (ℝ≥0)

ZEROS

Distinct count256
Unique (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean109.35321428571429
Minimum0
Maximum255
Zeros27521
Zeros (%)39.3%
Memory size547.0 KiB
2020-08-25T01:39:30.129928image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median69
Q3248
95-th percentile254
Maximum255
Range255
Interquartile range (IQR)248

Descriptive statistics

Standard deviation110.6227785
Coefficient of variation (CV)1.011609757
Kurtosis-1.734113147
Mean109.3532143
Median Absolute Deviation (MAD)69
Skewness0.2579863958
Sum7654725
Variance12237.39913
2020-08-25T01:39:30.233530image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
02752139.3%
 
253730910.4%
 
25240225.7%
 
25435035.0%
 
25513171.9%
 
2516380.9%
 
2503710.5%
 
1283350.5%
 
1912500.4%
 
2492470.4%
 
2432210.3%
 
2482160.3%
 
2472130.3%
 
2462100.3%
 
2452050.3%
 
2331990.3%
 
2441970.3%
 
291940.3%
 
641890.3%
 
2401880.3%
 
2341860.3%
 
2421800.3%
 
71770.3%
 
2411750.2%
 
41680.2%
 
Other values (231)2156930.8%
 
ValueCountFrequency (%) 
02752139.3%
 
1960.1%
 
21650.2%
 
31410.2%
 
41680.2%
 
51540.2%
 
61580.2%
 
71770.3%
 
81420.2%
 
91630.2%
 
ValueCountFrequency (%) 
25513171.9%
 
25435035.0%
 
253730910.4%
 
25240225.7%
 
2516380.9%
 
2503710.5%
 
2492470.4%
 
2482160.3%
 
2472130.3%
 
2462100.3%
 

219
Real number (ℝ≥0)

ZEROS

Distinct count256
Unique (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean27.781357142857143
Minimum0
Maximum255
Zeros56890
Zeros (%)81.3%
Memory size547.0 KiB
2020-08-25T01:39:30.348230image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile249
Maximum255
Range255
Interquartile range (IQR)0

Descriptive statistics

Standard deviation70.34034632
Coefficient of variation (CV)2.531926211
Kurtosis4.542757167
Mean27.78135714
Median Absolute Deviation (MAD)0
Skewness2.464737169
Sum1944695
Variance4947.764321
2020-08-25T01:39:30.453444image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
05689081.3%
 
25314662.1%
 
2527551.1%
 
2546791.0%
 
2553580.5%
 
2511370.2%
 
1281360.2%
 
191110.2%
 
21100.2%
 
131100.2%
 
71050.1%
 
9960.1%
 
5950.1%
 
17950.1%
 
6880.1%
 
12880.1%
 
10870.1%
 
1860.1%
 
250840.1%
 
35820.1%
 
11790.1%
 
8770.1%
 
64770.1%
 
4750.1%
 
84740.1%
 
Other values (231)796011.4%
 
ValueCountFrequency (%) 
05689081.3%
 
1860.1%
 
21100.2%
 
3700.1%
 
4750.1%
 
5950.1%
 
6880.1%
 
71050.1%
 
8770.1%
 
9960.1%
 
ValueCountFrequency (%) 
2553580.5%
 
2546791.0%
 
25314662.1%
 
2527551.1%
 
2511370.2%
 
250840.1%
 
249500.1%
 
248560.1%
 
247630.1%
 
246430.1%
 

771
Real number (ℝ≥0)

ZEROS

Distinct count164
Unique (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.6695
Minimum0
Maximum255
Zeros69664
Zeros (%)99.5%
Memory size547.0 KiB
2020-08-25T01:39:30.757810image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum255
Range255
Interquartile range (IQR)0

Descriptive statistics

Standard deviation11.23670843
Coefficient of variation (CV)16.78373179
Kurtosis365.8487366
Mean0.6695
Median Absolute Deviation (MAD)0
Skewness18.64683466
Sum46865
Variance126.2636164
2020-08-25T01:39:30.863164image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
06966499.5%
 
25320< 0.1%
 
25213< 0.1%
 
25413< 0.1%
 
2558< 0.1%
 
137< 0.1%
 
1007< 0.1%
 
1035< 0.1%
 
1915< 0.1%
 
515< 0.1%
 
314< 0.1%
 
2384< 0.1%
 
1314< 0.1%
 
564< 0.1%
 
284< 0.1%
 
1893< 0.1%
 
493< 0.1%
 
1683< 0.1%
 
1043< 0.1%
 
2173< 0.1%
 
2113< 0.1%
 
1453< 0.1%
 
1383< 0.1%
 
103< 0.1%
 
1353< 0.1%
 
Other values (139)2030.3%
 
ValueCountFrequency (%) 
06966499.5%
 
12< 0.1%
 
23< 0.1%
 
31< 0.1%
 
41< 0.1%
 
52< 0.1%
 
73< 0.1%
 
103< 0.1%
 
112< 0.1%
 
121< 0.1%
 
ValueCountFrequency (%) 
2558< 0.1%
 
25413< 0.1%
 
25320< 0.1%
 
25213< 0.1%
 
2512< 0.1%
 
2451< 0.1%
 
2431< 0.1%
 
2411< 0.1%
 
2402< 0.1%
 
2384< 0.1%
 

156
Real number (ℝ≥0)

ZEROS

Distinct count256
Unique (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean90.99132857142857
Minimum0
Maximum255
Zeros35301
Zeros (%)50.4%
Memory size547.0 KiB
2020-08-25T01:39:30.979827image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q3224
95-th percentile254
Maximum255
Range255
Interquartile range (IQR)224

Descriptive statistics

Standard deviation108.670361
Coefficient of variation (CV)1.194293596
Kurtosis-1.491983504
Mean90.99132857
Median Absolute Deviation (MAD)0
Skewness0.5595320236
Sum6369393
Variance11809.24736
2020-08-25T01:39:31.084730image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
03530150.4%
 
25357818.3%
 
25438685.5%
 
25221453.1%
 
25521323.0%
 
1283360.5%
 
2512920.4%
 
1912710.4%
 
2491950.3%
 
2501820.3%
 
131620.2%
 
2481570.2%
 
2411560.2%
 
2431560.2%
 
291520.2%
 
641490.2%
 
2331450.2%
 
2261420.2%
 
1441380.2%
 
1411370.2%
 
2181350.2%
 
2441340.2%
 
51330.2%
 
471280.2%
 
2471260.2%
 
Other values (231)1734724.8%
 
ValueCountFrequency (%) 
03530150.4%
 
1580.1%
 
2970.1%
 
3980.1%
 
4930.1%
 
51330.2%
 
6970.1%
 
71170.2%
 
8570.1%
 
9990.1%
 
ValueCountFrequency (%) 
25521323.0%
 
25438685.5%
 
25357818.3%
 
25221453.1%
 
2512920.4%
 
2501820.3%
 
2491950.3%
 
2481570.2%
 
2471260.2%
 
2461110.2%
 

517
Real number (ℝ≥0)

ZEROS

Distinct count256
Unique (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean83.19511428571428
Minimum0
Maximum255
Zeros36536
Zeros (%)52.2%
Memory size547.0 KiB
2020-08-25T01:39:31.200510image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q3208
95-th percentile254
Maximum255
Range255
Interquartile range (IQR)208

Descriptive statistics

Standard deviation106.538286
Coefficient of variation (CV)1.280583445
Kurtosis-1.289721986
Mean83.19511429
Median Absolute Deviation (MAD)0
Skewness0.7177189006
Sum5823658
Variance11350.40639
2020-08-25T01:39:31.310005image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
03653652.2%
 
25357148.2%
 
25229304.2%
 
25428844.1%
 
25510281.5%
 
2515150.7%
 
1282780.4%
 
2502360.3%
 
61730.2%
 
571720.2%
 
51670.2%
 
91650.2%
 
1911640.2%
 
641610.2%
 
211610.2%
 
2481600.2%
 
291550.2%
 
41540.2%
 
2451480.2%
 
31480.2%
 
2411470.2%
 
71420.2%
 
111410.2%
 
2361390.2%
 
2491380.2%
 
Other values (231)1724424.6%
 
ValueCountFrequency (%) 
03653652.2%
 
1800.1%
 
21270.2%
 
31480.2%
 
41540.2%
 
51670.2%
 
61730.2%
 
71420.2%
 
81300.2%
 
91650.2%
 
ValueCountFrequency (%) 
25510281.5%
 
25428844.1%
 
25357148.2%
 
25229304.2%
 
2515150.7%
 
2502360.3%
 
2491380.2%
 
2481600.2%
 
2471310.2%
 
2461220.2%
 

68
Real number (ℝ≥0)

ZEROS

Distinct count223
Unique (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.4125285714285714
Minimum0
Maximum255
Zeros69242
Zeros (%)98.9%
Memory size547.0 KiB
2020-08-25T01:39:31.432182image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum255
Range255
Interquartile range (IQR)0

Descriptive statistics

Standard deviation16.30054869
Coefficient of variation (CV)11.53997803
Kurtosis174.8193614
Mean1.412528571
Median Absolute Deviation (MAD)0
Skewness12.92194048
Sum98877
Variance265.7078874
2020-08-25T01:39:31.537971image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
06924298.9%
 
255490.1%
 
254350.1%
 
25333< 0.1%
 
19113< 0.1%
 
12813< 0.1%
 
5110< 0.1%
 
210< 0.1%
 
79< 0.1%
 
89< 0.1%
 
238< 0.1%
 
58< 0.1%
 
38< 0.1%
 
127< 0.1%
 
186< 0.1%
 
1146< 0.1%
 
506< 0.1%
 
1706< 0.1%
 
46< 0.1%
 
246< 0.1%
 
2386< 0.1%
 
296< 0.1%
 
146< 0.1%
 
435< 0.1%
 
225< 0.1%
 
Other values (198)4820.7%
 
ValueCountFrequency (%) 
06924298.9%
 
210< 0.1%
 
38< 0.1%
 
46< 0.1%
 
58< 0.1%
 
64< 0.1%
 
79< 0.1%
 
89< 0.1%
 
92< 0.1%
 
104< 0.1%
 
ValueCountFrequency (%) 
255490.1%
 
254350.1%
 
25333< 0.1%
 
2525< 0.1%
 
2491< 0.1%
 
2474< 0.1%
 
2461< 0.1%
 
2451< 0.1%
 
2441< 0.1%
 
2431< 0.1%
 

580
Real number (ℝ≥0)

ZEROS

Distinct count256
Unique (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean61.73247142857143
Minimum0
Maximum255
Zeros44651
Zeros (%)63.8%
Memory size547.0 KiB
2020-08-25T01:39:31.653916image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q3119
95-th percentile253
Maximum255
Range255
Interquartile range (IQR)119

Descriptive statistics

Standard deviation97.88541702
Coefficient of variation (CV)1.585639045
Kurtosis-0.4118985598
Mean61.73247143
Median Absolute Deviation (MAD)0
Skewness1.170490626
Sum4321273
Variance9581.554865
2020-08-25T01:39:31.753108image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
04465163.8%
 
25342006.0%
 
25217932.6%
 
25416722.4%
 
2559451.4%
 
2513490.5%
 
1282260.3%
 
2502030.3%
 
1911940.3%
 
2311510.2%
 
91400.2%
 
641380.2%
 
2491340.2%
 
41300.2%
 
31280.2%
 
141280.2%
 
2331220.2%
 
201190.2%
 
51160.2%
 
2441140.2%
 
2431130.2%
 
371100.2%
 
81100.2%
 
151080.2%
 
121070.2%
 
Other values (231)1379919.7%
 
ValueCountFrequency (%) 
04465163.8%
 
1480.1%
 
2900.1%
 
31280.2%
 
41300.2%
 
51160.2%
 
6960.1%
 
7830.1%
 
81100.2%
 
91400.2%
 
ValueCountFrequency (%) 
2559451.4%
 
25416722.4%
 
25342006.0%
 
25217932.6%
 
2513490.5%
 
2502030.3%
 
2491340.2%
 
248880.1%
 
247940.1%
 
2461060.2%
 

target
Real number (ℝ≥0)

ZEROS

Distinct count10
Unique (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.452428571428571
Minimum0
Maximum9
Zeros6903
Zeros (%)9.9%
Memory size547.0 KiB
2020-08-25T01:39:31.859190image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median4
Q37
95-th percentile9
Maximum9
Range9
Interquartile range (IQR)5

Descriptive statistics

Standard deviation2.890195101
Coefficient of variation (CV)0.6491277859
Kurtosis-1.255435629
Mean4.452428571
Median Absolute Deviation (MAD)3
Skewness0.02789431285
Sum311670
Variance8.35322772
2020-08-25T01:39:31.973423image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
1787711.3%
 
7729310.4%
 
3714110.2%
 
2699010.0%
 
969589.9%
 
069039.9%
 
668769.8%
 
868259.8%
 
468249.7%
 
563139.0%
 
ValueCountFrequency (%) 
069039.9%
 
1787711.3%
 
2699010.0%
 
3714110.2%
 
468249.7%
 
563139.0%
 
668769.8%
 
7729310.4%
 
868259.8%
 
969589.9%
 
ValueCountFrequency (%) 
969589.9%
 
868259.8%
 
7729310.4%
 
668769.8%
 
563139.0%
 
468249.7%
 
3714110.2%
 
2699010.0%
 
1787711.3%
 
069039.9%
 

Interactions

2020-08-25T01:38:22.394308image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:38:22.548562image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:38:22.729218image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:38:22.881780image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:38:23.032560image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:38:23.184731image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:38:23.343685image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:38:23.496530image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:38:23.647921image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:38:23.804117image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:38:23.960507image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:38:24.117048image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:38:24.272067image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:38:24.426601image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:38:24.578353image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
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2020-08-25T01:39:09.445827image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
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2020-08-25T01:39:11.778375image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:39:11.930726image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
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2020-08-25T01:39:13.767086image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
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2020-08-25T01:39:14.085222image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
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2020-08-25T01:39:14.402138image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
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2020-08-25T01:39:19.126835image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
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2020-08-25T01:39:20.497218image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:39:20.646693image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
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2020-08-25T01:39:20.959760image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:39:21.113846image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
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2020-08-25T01:39:21.736782image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:39:22.073204image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
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2020-08-25T01:39:22.698895image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:39:22.852420image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:39:23.002095image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:39:23.154872image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:39:23.308244image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:39:23.452577image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:39:23.596108image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:39:23.738494image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:39:23.887841image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:39:24.036279image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:39:24.184112image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:39:24.336900image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:39:24.483117image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:39:24.626839image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:39:24.769552image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:39:24.918100image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:39:25.066050image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:39:25.215233image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:39:25.362264image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:39:25.510224image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:39:25.655336image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:39:25.799039image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:39:25.947563image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:39:26.096104image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Correlations

2020-08-25T01:39:32.121575image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Pearson's r

The Pearson's correlation coefficient (r) is a measure of linear correlation between two variables. It's value lies between -1 and +1, -1 indicating total negative linear correlation, 0 indicating no linear correlation and 1 indicating total positive linear correlation. Furthermore, r is invariant under separate changes in location and scale of the two variables, implying that for a linear function the angle to the x-axis does not affect r.

To calculate r for two variables X and Y, one divides the covariance of X and Y by the product of their standard deviations.
2020-08-25T01:39:32.424139image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Spearman's ρ

The Spearman's rank correlation coefficient (ρ) is a measure of monotonic correlation between two variables, and is therefore better in catching nonlinear monotonic correlations than Pearson's r. It's value lies between -1 and +1, -1 indicating total negative monotonic correlation, 0 indicating no monotonic correlation and 1 indicating total positive monotonic correlation.

To calculate ρ for two variables X and Y, one divides the covariance of the rank variables of X and Y by the product of their standard deviations.
2020-08-25T01:39:32.724427image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Kendall's τ

Similarly to Spearman's rank correlation coefficient, the Kendall rank correlation coefficient (τ) measures ordinal association between two variables. It's value lies between -1 and +1, -1 indicating total negative correlation, 0 indicating no correlation and 1 indicating total positive correlation.

To calculate τ for two variables X and Y, one determines the number of concordant and discordant pairs of observations. τ is given by the number of concordant pairs minus the discordant pairs divided by the total number of pairs.
2020-08-25T01:39:33.036165image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Phik (φk)

Phik (φk) is a new and practical correlation coefficient that works consistently between categorical, ordinal and interval variables, captures non-linear dependency and reverts to the Pearson correlation coefficient in case of a bivariate normal input distribution. There is extensive documentation available here.

Missing values

2020-08-25T01:39:26.400633image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:39:26.931808image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Sample

First rows

59959121063817521443026059420557724523621977115651768580target
000000001140159351702410000007
125300006578002511680000253002532
2000001500000000000151001
3253025100109251000251025100253001470
40000001800012825213400084004
5000002540000000000252001
60000000153018902540100000004
7002532540023800000254000002459
80025300253251110025211017007525301485
91303600199136000021145000100009

Last rows

59959121063817521443026059420557724523621977115651768580target
69990117020025300000530000009
69991170000470025300002330143254002
6999214501090021700000128270002009
699931270000178000060110155000005
6999424100000000001960000254001
699950050000000024825325311402550008
699962170108002110025202332520002530003
6999700940025300220108010223000005
69998253011006222600084000000006
699991406200254000002480000116008

Duplicate rows

Most frequent

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42825300002530000000000253001137
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